Mattia Magnani
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Mattia Magnani has a total of 9 co-authors. Here are the top co-authors by number of shared publications:
- Fabrizio Ponti
Department of Industrial Engineering, University of Bologna 1 , Bologna
2 shared publications - Raoul Andriulli
Alma Propulsion Laboratory, Department of Industrial Engineering (DIN), University of Bologna, 40126 Bologna, Italy
2 shared publications - F. Ponti
Alma Propulsion Laboratory, Department of Industrial Engineering, University of Bologna, Forlì, 47122, Italy
1 shared publication - Giacomo Silvagni
Department of Industrial Engineering—DIN, University of Bologna, 40136 Bologna, Italy
1 shared publication - L. Fadigati
Alma Propulsion Laboratory, Department of Industrial Engineering, University of Bologna, Forlì, 47122, Italy
1 shared publication - Luca Fadigati
Department of Industrial Engineering, University of Bologna, Via Zamboni, 33-40126 Bologna, Italy
1 shared publication
Latest Publications
- Open Access
0-D Dynamic Performance Simulation of Hydrogen-Fueled Turboshaft Engine
In the last few decades, the problem of pollution resulting from human activities has pushed research toward zero or net-zero carbon solutions for transportation. The main objective of this paper is to perform a preliminary performance assessment of the use of hydrogen in conventional turbine engines for aeronautical applications. A 0-D dynamic model of the Allison 250 C-18 turboshaft engine was designed and validated using conventional aviation fuel (kerosene Jet A-1). A dedicated, experimental campaign covering the whole engine operating range was conducted to obtain the thermodynamic data for the main engine components: the compressor, lateral ducts, combustion chamber, high- and low-pressure turbines, and exhaust nozzle. A theoretical chemical combustion model based on the NASA-CEA database was used to account for the energy conversion process in the combustor and to obtain quantitative feedback from the model in terms of fuel consumption. Once the engine and the turbomachinery of the engine were characterized, the work focused on designing a 0-D dynamic engine model based on the engine’s characteristics and the experimental data using the MATLAB/Simulink environment, which is capable of replicating the real engine behavior. Then, the 0-D dynamic model was validated by the acquired data and used to predict the engine’s performance with a different throttle profile (close to realistic request profiles during flight). Finally, the 0-D dynamic engine model was used to predict the performance of the engine using hydrogen as the input of the theoretical combustion model. The outputs of simulations running conventional kerosene Jet A-1 and hydrogen using different throttle profiles were compared, showing up to a 64% reduction in fuel mass flow rate and a 3% increase in thermal efficiency using hydrogen in flight-like conditions. The results confirm the potential of hydrogen as a suitable alternative fuel for small turbine engines and aircraft.
Open Access0-D Dynamic Performance Simulation of Hydrogen-Fueled Turboshaft Engine
In the last few decades, the problem of pollution resulting from human activities has pushed research toward zero or net-zero carbon solutions for transportation. The main objective of this paper is to perform a preliminary performance assessment of the use of hydrogen in conventional turbine engines for aeronautical applications. A 0-D dynamic model of the Allison 250 C-18 turboshaft engine was designed and validated using conventional aviation fuel (kerosene Jet A-1). A dedicated, experimental campaign covering the whole engine operating range was conducted to obtain the thermodynamic data for the main engine components: the compressor, lateral ducts, combustion chamber, high- and low-pressure turbines, and exhaust nozzle. A theoretical chemical combustion model based on the NASA-CEA database was used to account for the energy conversion process in the combustor and to obtain quantitative feedback from the model in terms of fuel consumption. Once the engine and the turbomachinery of the engine were characterized, the work focused on designing a 0-D dynamic engine model based on the engine’s characteristics and the experimental data using the MATLAB/Simulink environment, which is capable of replicating the real engine behavior. Then, the 0-D dynamic model was validated by the acquired data and used to predict the engine’s performance with a different throttle profile (close to realistic request profiles during flight). Finally, the 0-D dynamic engine model was used to predict the performance of the engine using hydrogen as the input of the theoretical combustion model. The outputs of simulations running conventional kerosene Jet A-1 and hydrogen using different throttle profiles were compared, showing up to a 64% reduction in fuel mass flow rate and a 3% increase in thermal efficiency using hydrogen in flight-like conditions. The results confirm the potential of hydrogen as a suitable alternative fuel for small turbine engines and aircraft.
- Open Access
- 28 February 2024
- Published by Springer Nature in Aerotecnica Missili & Spazio
- Vol. 103 (2) , 165-178
Implementation and Validation of a Numerical Method for Concentrated Suspensions in Large Flows Based on the Particle Diffusion Equation
This work presents the development of an OpenFOAM solver aimed at correctly predicting dynamics of concentrated suspensions when subjected to non-uniform shear flows. The newly implemented solver is able to predict the behavior of a heterogeneous mixture whose characteristics depend on the solid particle local concentration. To simulate such behavior, the conservation equation expressing the time variation of the particle volume fraction has been implemented in OpenFOAM; this was achieved by modifying a pre-existing solver, pimpleFoam, which discretizes the Navier–Stokes system of equation through the PIMPLE algorithm. As a first step, the formulation of the momentum equation has been adapted to correctly solve cases with non-Newtonian fluids. Successively, the Krieger’s correlation has been used to model the viscosity variation in the domain to take in account heterogeneous particle distributions. Finally, the iterative cycle for the solution of the migration equation has been included within the time loop. The above-mentioned code has been successfully validated by comparing the numerical results with the measured data provided by experiments reported in literature.
- 28 February 2024
- Published by Springer Nature in Aerotecnica Missili & Spazio
- Vol. 103 (2) , 165-178
Open AccessImplementation and Validation of a Numerical Method for Concentrated Suspensions in Large Flows Based on the Particle Diffusion Equation
This work presents the development of an OpenFOAM solver aimed at correctly predicting dynamics of concentrated suspensions when subjected to non-uniform shear flows. The newly implemented solver is able to predict the behavior of a heterogeneous mixture whose characteristics depend on the solid particle local concentration. To simulate such behavior, the conservation equation expressing the time variation of the particle volume fraction has been implemented in OpenFOAM; this was achieved by modifying a pre-existing solver, pimpleFoam, which discretizes the Navier–Stokes system of equation through the PIMPLE algorithm. As a first step, the formulation of the momentum equation has been adapted to correctly solve cases with non-Newtonian fluids. Successively, the Krieger’s correlation has been used to model the viscosity variation in the domain to take in account heterogeneous particle distributions. Finally, the iterative cycle for the solution of the migration equation has been included within the time loop. The above-mentioned code has been successfully validated by comparing the numerical results with the measured data provided by experiments reported in literature.
- Open Access
- 1 November 2023
- Published by Materials Research Forum, LLC in Materials Research Proceedings
- Vol. 37
Particle migration modeling in solid propellants
Particle migration modeling in solid propellants Raoul Andriulli, Nabil Souhair, Luca Fadigati, Mattia Magnani, Fabrizio Ponti [button link="https://www.mrf
- 1 November 2023
- Published by Materials Research Forum, LLC in Materials Research Proceedings
- Vol. 37
Open AccessParticle migration modeling in solid propellants
Particle migration modeling in solid propellants Raoul Andriulli, Nabil Souhair, Luca Fadigati, Mattia Magnani, Fabrizio Ponti [button link="https://www.mrf